Manager, AIML Engineering - Vision Products Group at Apple

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Leadership, Machine Learning, Computer Vision, Generative Modeling, Synthetic Data, Python, C++, C#, PyTorch, TensorFlow, Kubeflow, MLOps, Unity, 3D Graphics, Robotics, Communication

Industry

Computers and Electronics Manufacturing

Description

This role offers the opportunity to lead a world-class team at the forefront of applied AI—developing embodied systems that connect perception, motion, and intelligence. The ideal candidate combines hands-on technical fluency with organizational leadership, guiding innovation from synthetic data pipelines and 3D perception to scalable production integration. DESCRIPTION Artificial Intelligence represents a transformative opportunity for Apple, enhancing products and experiences for billions of users worldwide. Apple is seeking a technically strong and visionary Manager, AIML Engineering to lead a team focused on building the next generation of embodied intelligence systems. This role will oversee research and engineering efforts at the intersection of machine learning, computer vision, and generative modeling—advancing Apple’s capabilities in character-based and spatially aware AI technologies. MINIMUM QUALIFICATIONS Proven leadership experience managing teams in applied AI/ML research and development, with a demonstrated record of delivering scalable, high-quality systems. Deep expertise in machine learning, computer vision, generative modeling, and synthetic data—including experience building tools, datasets, and simulation-based training workflows. Strong proficiency in Python, C++, C#, and ML frameworks such as PyTorch, TensorFlow, and Kubeflow. Hands-on experience designing ML infrastructure and MLOps pipelines for data-driven research and production model deployment. Familiarity with Unity, 3D graphics systems, or robotics is highly desirable, particularly for developing synthetic environments and embodied AI simulations. Understanding of conditional generation, representation learning, and geometric deep learning methods, especially for 3D perception and reasoning tasks. Exceptional communication and collaboration skills, with the ability to translate research into practical applications across diverse teams. Advanced degree (Ph.D. or M.S.) in Computer Vision, Machine Learning, Robotics, Computer Science, or a related discipline or 5+ years equivalent industry experience. PREFERRED QUALIFICATIONS Familiarity with Apple’s research and product ecosystem is a plus. Demonstrated passion for advancing AI methods that combine perception, reasoning, and action. Proven ability to balance long-term research exploration with near-term deliverables. Experience publishing in top-tier AI or robotics venues or contributing to open-source ML frameworks is advantageous.

Responsibilities

Lead a team focused on building the next generation of embodied intelligence systems. Oversee research and engineering efforts at the intersection of machine learning, computer vision, and generative modeling.